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International Journal of Engineering Sciences & Research Technology (A Peer Reviewed Online Journal) Impact Factor: 5.164 IJESRT Chief Editor Executive Editor Dr. J.B. Helonde Mr. Somil Mayur Shah Website: www.ijesrt.com Mail: [email protected] O IJESRT: 9(4), April, 2020 ISSN: 2277-9655

JESRT: 9(4), April, 2020 ISSN: 2277-9655 I International ...ijesrt.com/issues /Archive-2020/April-2020/1.pdf · (438.78±0.86 mg/g gallic acid equivalent), proanthocyanidins (0.8±0.05)

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  • International Journal of Engineering Sciences & Research

    Technology (A Peer Reviewed Online Journal)

    Impact Factor: 5.164

    IJESRT

    Chief Editor Executive Editor

    Dr. J.B. Helonde Mr. Somil Mayur Shah

    Website: www.ijesrt.com Mail: [email protected] O

    IJESRT: 9(4), April, 2020 ISSN: 2277-9655 I X

    http://www.ijesrt.com/mailto:[email protected]

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    IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH

    TECHNOLOGY

    CHEMICAL PROFILING AND ADME PREDICTION OF SARACA ASOCA (ROXB)

    WILDE Shweta R. Gophane*1 & C.N.Khobragade2

    *1&2School of Life Sciences, Swami Ramanand Teerth Marathwada University, Nanded (MS)-431606

    DOI: 10.5281/zenodo.3778234

    ABSTRACT The dried powdered bark of Saraca asoca was extracted using ethyl acetate, acetone, ethanol and distilled water

    by a three-step sequential extraction procedure. Among all extracts, ethanolic extract showed highest phenol

    (438.78±0.86 mg/g gallic acid equivalent), proanthocyanidins (0.8±0.05) and coumarin (1.192±0.2 mg/g)

    content while highest flavonoid (179.5±0.47 mg/g rutin equivalent) were detected in ethyl acetate extract.

    Highest DPPH free radical quenching activity was observed in ethanolic extract of Saraca asoca (IC50 value

    48.43) which was significantly comparable with ascorbic acid (IC50 value 14.12). The UV-visible and FTIR

    spectrum confirmed the presence of alcohols, phenols, alkanes, alkyl halides, aldehydes, carboxylic acids,

    aromatics, nitro compounds and amines in ethanolic extract. The FTIR, GC-MS spectrum profile along with the

    (ADME)-Toxicity analysis unveiled that the medicinally important plant Saraca asoca bark extract having

    various bioactive compounds and can be used as therapeutic agents.

    KEYWORDS: ADMET, FTIR, GC-MS, Saraca asoca.

    1. INTRODUCTION Saraca asoca a component of several ayurvedic and traditional ethnomedical preparations belongs to the family

    Caesalpinaceae which is commonly known as ashoka meaning that “without sorrow” or which that gives no

    grief. In India, Ashoka is used in many pharmacological activities like anti-cancer, anti menorrhagic, anti

    oxytoxic, anti –microbial activity and have extend uses in ayurveda, unani and homeopathy [1]. It has many

    uses in treatment of skin infections, CNS function and genitor-urinary functions. It’s bark mostly beneficial in

    uterine inertia, uterine pain, urinary calculus, dysurea, Leucorrhoea and urinary stone [2]. Some of the most

    important bioactive phytochemical constituents such as glycosides, alkaloids, flavonoids, tannins, steroids,

    terpenoids, essential oils and phenolic compounds are found in Saraca asoca[3]. Phenolics and flavonoids are

    polyphenols, an important class of secondary plant metabolites possessing an impressive array of

    pharmacological activity which include free radical scavenging, inhibition of hydrolytic and oxidative enzymes

    and anti-inflammatory action etc [4]. Oxidation reaction can produce free radicals, which can damage cells and

    tissues. Recently, there has been an upsurge of interest in the therapeutic potential of medicinal plants as

    antioxidants in reducing such free radical-induced tissue injury. As a result, profiling of medicinal plant by some

    platform technology such as gas chromatography-mass spectrometer (GC-MS), liquid chromatography-mass

    spectrometer as well as it’s holistic overview of all metabolites present in extracts became crucial and valuable.

    Spectroscopic (UV-Vis, FTIR) methods together or separate can be used because of its simplicity, cost-effective

    and rapid test for detecting phytocomponents. Hence the present study is designed to evaluate the phytochemical

    profile of Saraca asoca, with the aid of GC-MS, UV-VIS and FTIR Techniques, to ascertain the rationale for its

    use in traditional medicine.

    2. MATERIALS AND METHODS

    2.1 Drugs Saraca asoca barks were procured from Yogesh pharma Pvt. Ltd., Nanded (MS), India. It was identified and

    authenticated at Department of Botany, Babasaheb Ambedkar Marathwada University Aurangabad, India. The

    barks were washed thoroughly with water to remove dust and dried under the shade at room temperature for 5

    days. The dried barks were ground using blender to obtain the course powder and kept in an air tight container

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    till further use. Powdered plant material (150g) were successively extracted using Soxhlet apparatus using the

    solvents in order of increasing polarity viz., C), ethyl acetate, acetone, ethanol and distilled water. Each time the

    marc was dried and later extracted with other solvents. All the extracts were concentrated by distilling the

    solvent in a rotary vacuum evaporator.

    2.2 Phytochemical Screening of Bark Extract The four extracts obtained from the powdered bark of Saraca asoca were subjected to phytochemical tests to

    investigate the presence or absence of active secondary metabolites using standard procedures [5].

    2.3 Qntitative Estimation of Total Phenols Folin-Ciocalteu reagent was used to determine the total phenolic content (TPC) of the various organic crude

    extracts with slight modification [6]. 1.5 ml Folin-Ciocalteu reagent (diluted 1:10 with de-ionized water) was

    added to the 0.5 mL of the plant extract sample, and was vortexed for 5 min, followed by addition of 3 mL of

    sodium carbonate solution (7.5%). This reaction mixture was incubated for 30 min at room temperature in dark.

    The absorbance of the resulting blue colour was measured by using double beam UV-Vis spectrophotometer

    (UV Shimadzu- 1800) at fixed wavelength of 760 nm. The calibration curve was prepared by employing gallic

    acid at concentrations of 10 to100 μg/ml. The TPCs were determined using linear regression equation obtained

    from the standard plot of gallic acid. The content of total phenolic compounds was calculated as mean±SD

    (n=3) and expressed as mg/g gallic acid equivalent (GAE) of dry extract.

    2.4 Quantitative Estimation of Total Flavonoid Aluminum chloride colorimetric method was used for flavonoids determination as described by Madaan et

    al.[7]. 0.5 mL of each plant extract was mixed with 1.5 mL of ethanol, 0.1 mL of 10% aluminum chloride, 0.1

    mL of 1 M potassium acetate and 2.8 mL of distilled water. The reaction mixture was allowed to stand at room

    temperature for 30 min and the absorbance of the reaction mixture was measured at 415 nm. The calibration

    curve was prepared by using rutin at concentrations of 10 to100 μg/ml in ethanol. The amount of flavonoid was

    calculated from linear regression equation obtained from the rutin calibration curve. The flavonoid content was

    calculated as mean±SD (n=3) and expressed as mg/g of rutin equivalent (RE) of dry extract.

    2.5 Quantitative Estimation of total Proanthocyanidins The total proanthocyanidin content were estimated using the procedure reported by Sun et al[8].A volume of 0.5

    mL of 0.1 mg/mL of extract solution was mixed with 3.0 mL of 4% vanillin-methanol solution and 1.5 mL

    hydrochloric acid, the mixture was allowed to stand for 15 min at room temperature, the absorbance was

    measured at 500 nm. The proanthocyanidins content was calculated as mean±SD (n=3) and expressed as mg/g

    of catechin equivalent of dry extract.

    2.6 Quantitative Estimation of total Coumarin Coumarin content was estimated with slight modification in procedure reported by Bruna Medeiros-Neves et

    al[9].A volume of 0.5 mL of the extract was mixed with 2 ml of distilled water and 0.5 mL of lead acetate

    solution. The sample was shaken and then 7 ml of distilled water were added before transferring 2mL of this

    solution to a new test tube and added 8 mL of hydrochloric acid solution. The sample was incubated at room

    temperature for 30 minutes and the absorbance was measured at 500 nm. The coumarin content was calculated

    as mean±SD (n=3) and expressed as mg/g of coumarin equivalent of dry extract.

    2.7 Free Radical Scavenging Activity by DPPH Assay Method The capacity of the extracts and ascorbic acid to scavenge the stable 1, 1-diphenyl-2-picrylhydrazyl (DPPH) free

    radical was measured as per stated method [10]. 0.1 mL of extracts and ascorbic acid of different concentrations

    (10to200 μg/ml) was mixed with 2.9 mL of 0.1mM DPPH solution. The solution was rapidly mixed and allowed

    to stand in dark at room temperature for 30 min. The blank was prepared in a similar way without extract or

    ascorbic acid. The decrease in absorbance of each solution was measured at 517 nm using UV-Vis

    spectrophotometer. Negative control was prepared by mixing 0.1 mL of ethanol with 2.9 mL of DPPH solution.

    The percentage of radical scavenging activity of tested extracts and positive control ascorbic acid was calculated

    by using the following formula:

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    Free radical scavenging activity (%) = [Ac- As] ×100

    Ac

    Where Ac=Absorbance of control and As=Absorbance of sampleat 517 nm.

    The concentration of sample required to scavenge 50% of DPPH free radical (IC50) was determined from the

    curve of percent inhibitions plotted against the respective concentration.

    2.8 UV-VIS and FTIR Spectroscopic analysis The ethanolic extract was examined under visible and UV light for proximate analysis. For UV-VIS and FTIR

    spectrophotometer analysis, the extract was centrifuged at 5000 rpm for 15 min and filtered through Whatman

    No. 1 filter paper. The sample is diluted to 1:10 with the same solvent. The extract was scanned in the

    wavelength ranging from 200-1100 nm using UV-1800 Shimadzu UV Spectrophotometer and the characteristic

    peaks were detected. FTIR analysis was performed using Thermofisher Scientific, model-Nicolet 6700 FT-IR

    system in a scan range of 400 -4000 cm-1and characteristic peaks and their functional groups were detected.

    2.9 Gas Chromatography-Mass Spectrometry Analysis The GC-MS analysis of the ethanolic extract was carried out using a Agilent 7890 A gas chromatogram

    equipped and coupled to a mass detector 5975 MSD spectrometer with DB 5 MS and 30m × 0.25 µm DF of

    capillary column. Ultra-high purity helium (99.99%) was used as carrier gas at a constant flow rate of 1.0

    mL/min. The injection, transfer line and ion source temperatures were all 290 °C. The ionizing energy was 70

    eV. Electron multiplier voltage was obtained from autotune. The oven temperature was programmed from 60 °C

    (hold for 2 min) to 320 °C at a rate of 3 °C/min. The crude ethanolic extract of Saraca asoca was diluted with

    appropriate solvent (1/10, V/V) and filtered. The particle-free diluted crude extracts (1 μL) were taken in a

    syringe and injected into injector with a split ratio 30:1. All data were obtained by collecting the full-scan mass

    spectra within the scan range 30-600 amu. The percentage composition of the crude extract constituents was

    expressed as a percentage by peak area. The identification and characterization of chemical compounds in

    ethanolic crude extract was based on GC retention time. AMDIS and NIST Version-Year 2011 was used MS

    data library and comparing the spectrum obtained through GC-MS compounds present in the plants sample was

    identified.

    2.10 ADMET predictions ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) analyses constitutes the

    pharmacokinetics of a drug molecule [11]. In this study, prediction and significant descriptors of drug likeness

    such as mutagenicity, toxicological dosage level and pharmacologically relevant properties of the compounds

    were predicted using Swissadme (http://www.swissadme.ch) and admetSAR (lmmd.ecust.edu.cn:8000) servers.

    2.11 Data Analysis The results are expressed as mean ± SD. Student’s t-test and one way ANOVA were applicable and used to

    analyze level of statistical significance between groups. P

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    3.3 Estimation of Free Radical Scavenging Activity The antioxidant activity of Saraca asoca was evaluated using the DPPH free radical scavenging method.

    Ascorbic acid was used as standard compound. The Saraca asoca exhibited strong antioxidant activity in the

    DPPH inhibition assay as evidenced by the low IC50values and were compared with standard antioxidant,

    ascorbic acid. All the extracts showed a dose dependent scavenging activity of DPPH comparable to standard

    antioxidant (Fig. 2). The IC50 value (in μg/mL) of the extracts was found in the order of distilled

    water>acetone>ethyl acetate>ethanol extract (Table III). IC50 value of ascorbic acid (14.12μg/mL) was less than

    the ethanol extract (18.4μg/mL).Higher phenol and flavonoid content in the plant tissue can also lead to increase

    in antioxidant activity [12].

    3.4 Spectrophotometric analysis The UV-VIS profile of Saraca asoca extract was selected at the wavelength of 200 to 400 nm and the spectrum

    profile showed the peaks at 344 and 232 nm with the absorption 3.600 and 1.256 respectively (Fig.3; Table IV).

    Occurrence of peaks at 234-676 nm reveals the presents of phenolic and alkaloids.The FTIR spectrum was used

    to identify the functional group of the active components based on the peak value in the region of infrared

    radiation. The results of FTIR peak values and functional groups were represented in (Fig. 4; Table V). FTIR

    spectrum confirmed the presence of alcohols, phenols, alkanes, alkynes, alkyl halides, aldehydes, carboxylic

    acids, aromatics, nitro compounds and amines in ethanol extract. On comparison of the spectra of bark shows

    that the extract has some similar alkaloid, phenolics and glycosides compounds[13]. Hence, UV and FTIR

    spectroscopy is reliable and sensitive method for detection of bioactive constituents.

    3.5 Chemical Composition of Extracts by GC-MS Analysis GC-MS chromatogram of the ethanolic extract of S.asoca (Fig. 5) showed 14 peaks indicating the presence of

    14 phytochemical constituents. All the constituents were characterized and identified by comparison of the mass

    spectra of the constituents with the AMDIS and NIST Version-Year 2011library. The active principles with

    their retention time (RT), molecular formula, molecular weight (MW) and concentration (%) are presented in

    (Table VI). The prevailing compounds were à-D-(+)-Talopyranose, pentakis(trimethylsilyl) ether (68%)

    followed by Sorbopyranose, 1,2,3,4,5-pentakis-O-(trimethylsilyl)-, L-(61%), D-Pinitol, pentakis(trimethylsilyl)

    ether (57%) ,Mannose, 6-deoxy-2,3,4,5-tetrakis-O-(trimethylsilyl)-, L- (56%), Myo-Inositol, 1,2,3,4,5,6-

    hexakis-O-(trimethylsilyl) (55%), , >Arabinopyranose, tetrakis-O-(trimethylsilyl)-, à-D- (47%) and Mannose,

    2,3,4,5,6-pentakis-O-(trimethylsilyl)-, D-(37%). The biological activities listed (Table VII) are based on

    Dr.Duke’s Phytochemical and Ethnobotanical Databases by Dr. Duke of the Agricultural Research

    Service/USDA [14]. The presence of various bioactive compounds in Saraca asoca justifies the use of the bark

    for various ailments by traditional practitioners.

    3.6 ADMET Predictions The potential ADME profiles of the compounds as predicted using admetSAR server, while the distribution

    profile of the compounds as obtained from admetSAR server is shown in (Table VIII). Computational study for

    the prediction of the relevant properties influencing bioactivity of the lead compounds was performed. The

    ADME properties of the compounds were evaluated and the selected properties are linked to metabolism, cell

    permeation.

    4 CONCLUSIONS The importance of the study is due to the biological activity and ADMET study of these compounds determined

    by GC-MS Analysis. The prevailing compounds are Arabinopyranose, Myo-Inositol, D-Pinitol, Sorbopyranose,

    Talopyranose. The UV- VIS profile showed the peaks at 344.09 nm and 232.50 nm respectively. The results of

    FTIR analysis confirmed the presence of phenol, alkanes, aldehyde, secondary alcohol, amino acid and aromatic

    amines. The results of this study offer a platform of using Saraca asocabark as herbal alternative for various

    diseases including diabetic, cardiovascular, cancer, gout, urolithiasis, urinary tract infection etc. However

    isolation of individual phytochemical constituents and subjecting it to biological activity will definitely give

    fruitful results.

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    5 ACKNOWLEDGMENTS Authors are thankful to the Director of school of life sciences, Swami Ramanand Teerth Marathwada

    University, Nanded and the Indian Institute of Science (IISc), Bangalore for providing the instrumentation

    facilities.

    REFERENCES [1] T. Athiralakshmy, A. Divyamol and P. Nisha, “Phytochemical screening of Saraca asoca and

    antimicrobial activity against bacterial species”, Asian Journal of Plant Science and Research, 6(2)30-

    36, 2016.

    [2] S. Misra andBhavaprakasa Nighantu.,“Indian Materica Medica” , Chaukambha Bharati Academy, 11th edition, Varanasi, pp. 500–501, 2007.

    [3] J. Harbone ,“Phytochemical Methods”. Champion and Hall Publishers, 2nd edition, London, pp. 84-196, 1984.

    [4] E. Frankel,“Nutritional benefits of flavonoids. International conference on food factors: Chemistry and Cancer Prevention”, Hamamatsu, Japan, C6-2, 1995.

    [5] C. Kokate , A. Purohit and S. Gokhale ,“Practical Pharmacognosy”, 2nd edition. Vallabh Prakashan, New Delhi, 466- 470, 2004.

    [6] V. Singleton, R. Orthofer, R. Lamuela-Raventos, “Analysis of total phenols and other oxidation substrates and antioxidants by means of Folin-Ciocalteau reagent”, Methods Enzymol, 299:152-178,

    1999.

    [7] R. Madaan, G. Bansal, S. Kumar andA. Sharma, “Estimation of total phenols and flavonoids in extracts of Actaea spicata roots and antioxidant activity studies”,Indian Journal of Pharmaceutical

    Sciences,73(6): 666-669, 2011.

    [8] B. Sun, L. Concepcion, J. Ricardo Da Silva and I. Spranger, “Separation of grape and wine proanthocyanidins according to their degree of polymerization”,Journal of Agricultural and Food

    Chemistry,46 1390–1396, 1998.

    [9] Bruna Medeiros-Neves, Francisco Maikon Corrêa de Barros, Gilsane Lino von Poser and Helder Ferreira Teixeira, “Quantification of Coumarins in Aqueous Extract of Pterocaulon balansae

    (Asteraceae) and Characterization of a New Compound”, Molecules,20:18083-18094, 2015.

    [10] I. Koleva, T. Van Beek, J. Linssen, A. de Groot andL. Evstatieva,“Screening of plant extracts for antioxidant activity: a comparative study on three testing methods”, Phytochemical Analysis,8-17,

    2002.

    [11] C. Nisha , A. Kumar , B. Vimal , D. Bai andA. Pal,“Docking and ADMET prediction of few GSK-3 inhibitors divulges 6-bromoindirubin-3-oxime as a potential inhibitor”, J. Mol. Grap. Model, 65 100-

    107, 2016.

    [12] P. Chaturvedi, A. Ghatak and N. Desai,“Evaluvation of radical scavenging potential and total phenol content in Woodfordia fruticosa from different altitudes”, Journal of Plant Biochemistry and

    Biotechnology, 21(1) 17-22, 2011.

    [13] K. Kumar and Devi Prasad,“Identification and comparison of biomolecules in medicinal plants of Tephrosia tinctoria and Atylosia albicans by using FTIR”, Romanian J. Biophys, 21(1) 63-71, 2011.

    [14] Dukes. Phytochemical and Ethnobotanical Databases. Phytochemical and Ethnobotanical Databases. www.ars-gov/cgi-bin/duke/

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    FIGURES

    Fig.1: Standard calibration curve for total phenolic content for standard gallic acid , total flavonoids content for standard

    rutin , total proanthocyanidins content for standard catechin and total coumarin content for standard coumarin

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    Fig. 2: Percentage inhibition of DPPH free radical by crude extracts of Saraca asoca

    Fig. 3: UV-Visible spectrum of ethanolic extract of S.asoca.

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    Fig. 4: FTIR spectrum of ethanolic extract of Saraca asoca\

    Fig. 5: GC-MS chromatogram of Saraca asoca ethanolic extract

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    TABLES Table I: Preliminary phytochemical screening of Saraca asoca (bark)

    Phytoconstituents Test/Reagents Ethyl acetate

    extract

    Acetone

    extract

    Ethanolic

    extract

    Aqueous

    extract

    Alkoids Dragendorff’s

    Test

    + - - -

    Hager’s Test + - - -

    Wagner’s Test + - - -

    Proteins Biuret Test - + + -

    Ninhydrin’s Test - + + -

    Millon’s Test - + + -

    Tannins Lead acetate + + + +

    Ferric chloride + + + +

    Steroids Salkowski test + + + +

    Carbohydrate Fehling’s Test + + + +

    Benedict’s Test + + + +

    Flavonoids Shinoda test + + + -

    Lead Acetate Test + + + -

    Sodium

    Hydroxide Test

    + + + -

    Glycoside Keller-killani Test + + + -

    Saponins Foam Test + - - -

    (+): Detected; (-): Not Detected

    Table II: Quantitative estimation of total phenolics, flavonoids, proanthocyanidins and coumarin (n=3)

    Plants Extracts Total

    phenolics

    (GAE mg/g)

    Total

    flavonoids

    (RE mg/g)

    Total

    Proanthocyanidins

    (Catechin mg/g)

    Total coumarin

    (coumarin

    mg/g)

    Saraca

    asoca

    Ethanolic 438.78±0.86 80.16±0.29 0.8±0.05 1.192±0.2

    Acetone 322.66±0.57 55.07±0.47 0.58±0.01 1.147±0.3

    Ethyl acetate 255.8±0.23 179.5±0.47 0.35±0.08 ND

    Aqueous 20.9±0.22 ND 0.05 0.45±0.01

    Values are expressed in mean±SD ; P

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    Table IV: UV-VIS peak values of ethanolic extracts of Saraca asoca.

    Wavelength (nm) Abs.

    344 3.600

    232 1.256

    Table V: FTIR peak values and functional groups of Saraca asoca (ethanolic extract)

    Peak values Functional group

    3459.41 Alcohol

    1612.76 Non acid carbonyl, Alkenes, Primary amines

    1450.86 Aromatics

    1227.15 Alcohols

    1038.76 Aliphatic amines

    Table VI: Phytocomponents identified in the ethanolic extract of S.asoca using GC-MS.

    CAS

    Registration

    Number

    Name of Compounds RT Purity

    (%)

    Molecular

    formula

    Molecular

    weight

    19127152 Mannose, 6-deoxy-

    2,3,4,5-tetrakis-O-

    (trimethylsilyl)-, L-

    21.2876 56% C18H44O5Si4 452.88

    20585619 Arabinopyranose,

    tetrakis-O-

    (trimethylsilyl)-, à-D-

    21.7509 47% C17H42O5Si4 438.85

    30645024

    Sorbopyranose,

    1,2,3,4,5-pentakis-O-

    (trimethylsilyl)-, L-

    26.6452 53% C21H52O6Si5 541.06

    EPA-380134 D-Pinitol,

    pentakis(trimethylsilyl)

    ether

    27.134 67% C22H54O6Si5 555.08

    30645024 Sorbopyranose,

    1,2,3,4,5-pentakis-O-

    (trimethylsilyl)-, L-

    28.0439 61% C21H52O6Si5 541.06

    6736998 Mannose, 2,3,4,5,6-

    pentakis-O-

    (trimethylsilyl)-, D-

    28.9004 57% C21H52O6Si5 541.06

    18623228 D-Xylose,

    tetrakis(trimethylsilyl)-

    29.5126 54% C18H45NO5Si4 467.89

    14199805 Trimethylsilyl ether of

    glucitol

    30.4657 46% C24H62O6Si6 615.25

    EPA-380134 D-Pinitol,

    pentakis(trimethylsilyl)

    ether

    30.8015 57% C22H54O6Si5 555.08

    6736976 D-Glucose, 2,3,4,5,6-

    pentakis-O-

    (trimethylsilyl)-

    31.7746 59% C21H52O6Si5 541.06

    EPA-380170 à-D-(+)-Talopyranose,

    pentakis(trimethylsilyl)

    ether

    31.7913 68% C21H52O6Si5 541.06

    6736998 Mannose, 2,3,4,5,6- 31.9226 37% C21H52O6Si5 541.06

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  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [11]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    pentakis-O-

    (trimethylsilyl)-, D-

    2582798 Myo-Inositol,

    1,2,3,4,5,6-hexakis-O-

    (trimethylsilyl)-

    34.5206 55% C24H60O6Si6 613.24

    Table VII : Bioactivity of phytocomponents identified in the ethanolic extract of Saraca asoca.

    Name of the compound Biological Activity**

    Arabinopyranose, tetrakis-O-(trimethylsilyl)-, à-

    D-

    Antitumor, Decrease oxalate excretion, Inhibit

    production of uric acid, NADH-oxidase

    inhibitor, Xanthine oxidase inhibitor,Decrease

    Lactate/pyruvate ratio, Decalcifier,

    diuretic,Provide Vitamin D.

    Myo-Inositol, 1,2,3,4,5,6-hexakis-O-

    (trimethylsilyl)-

    Antidepression, liver problems, panic disorders,

    and diabetes.

    D-Pinitol, pentakis(trimethylsilyl) ether Smart drug, Anticancer, CNS-depressant,

    Decalcifier, Decongestant, coronary dialator,

    Decrease oxalate excretion, Decrease

    Lactate/pyruvate ratio, Dehydrogenase inhibitor,

    diuretic, provide vitamin D.

    Mannose, 6-deoxy-2,3,4,5-tetrakis-O-

    (trimethylsilyl)-, L-

    Low oxalate, Anti-LDL, Anticancer, Antitumor,

    Decrease Lactate/pyruvate ratio, laxative,

    litholytic, decrease oxalate excretion, and inhibit

    production of uric acid, xo inhibitor.

    Sorbopyranose, 1,2,3,4,5-pentakis-O-

    (trimethylsilyl)-, L-

    Larvicidal, Lactation, Anticancer, Laxative,

    Anti-leukemia, Litholytic, Lymphatic diseases,

    oxidase inhibitor.

    Mannose, 2,3,4,5,6-pentakis-O-(trimethylsilyl)-,

    D-

    Diabetes, Disinfectant, Diuretic, Digestive

    diseases, Dropsy, Lymphatic diseases, skin

    diseases, Oncolytic,

    à-D-(+)-Talopyranose, pentakis(trimethylsilyl)

    ether

    Down regulation of nuclear and cytosol

    androgen, inhibit destruction of

    glycosaminoglycans, inhibit production of

    tumor necrosis factor and inhibit production of

    uric acid.

    (**Activity source: Dr. Duke's Phytochemical and Ethnobotanical Database)

    Table VIII: ADME profiles of the compounds

    Compound 1: Arabinopyranose, tetrakis-O-(trimethylsilyl)-, à-D-

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  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [12]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    ADMET Predicted Profile --- Classification

    Model Result Probability

    Absorption

    Blood-Brain Barrier BBB+ 0.8827

    Human Intestinal Absorption HIA+ 0.6426

    Caco-2 Permeability Caco2- 0.5405

    P-glycoprotein Substrate Non-substrate 0.6829

    P-glycoprotein Inhibitor Non-inhibitor 0.6470

    Non-inhibitor 0.8045

    Renal Organic Cation Transporter Non-inhibitor 0.8434

    Distribution

    Subcellular localization Mitochondria 0.7063

    Metabolism

    CYP450 2C9 Substrate Non-substrate 0.8123

    CYP450 2D6 Substrate Non-substrate 0.8160

    CYP450 3A4 Substrate Substrate 0.5652

    CYP450 1A2 Inhibitor Non-inhibitor 0.8670

    CYP450 2C9 Inhibitor Non-inhibitor 0.8627

    CYP450 2D6 Inhibitor Non-inhibitor 0.8911

    CYP450 2C19 Inhibitor Non-inhibitor 0.7965

    CYP450 3A4 Inhibitor Non-inhibitor 0.9008

    CYP Inhibitory Promiscuity Low CYP Inhibitory Promiscuity 0.9624

    Excretion

    Toxicity

    Human Ether-a-go-go-Related Gene Inhibition Weak inhibitor 0.9649

    Non-inhibitor 0.8872

    AMES Toxicity Non AMES toxic 0.5000

    Carcinogens Carcinogens 0.6667

    Fish Toxicity Low FHMT 0.8148

    Tetrahymena Pyriformis Toxicity Low TPT 0.7104

    Honey Bee Toxicity High HBT 0.6987

    Biodegradation Not ready biodegradable 0.6385

    Acute Oral Toxicity III 0.5320

    http://www.ijesrt.com/http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/http://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=A

  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [13]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    Carcinogenicity (Three-class) Non-required 0.5694

    ADMET Predicted Profile --- Regression

    Model Value Unit

    Absorption

    Aqueous solubility -1.6569 LogS

    Caco-2 Permeability 0.7028 LogPapp, cm/s

    Distribution

    Metabolism

    Excretion

    Toxicity

    Rat Acute Toxicity 2.6942 LD50, mol/kg

    Fish Toxicity 1.4991 pLC50, mg/L

    Tetrahymena Pyriformis Toxicity -0.2513 pIGC50, ug/L

    Compound 2: Myo-Inositol, 1,2,3,4,5,6-hexakis-O-(trimethylsilyl)-

    ADMET Predicted Profile --- Classification

    Model Result Probability

    Absorption

    Blood-Brain Barrier BBB+ 0.9112

    Human Intestinal Absorption HIA+ 0.7965

    Caco-2 Permeability Caco2+ 0.5800

    P-glycoprotein Substrate Non-substrate 0.6926

    P-glycoprotein Inhibitor Non-inhibitor 0.6467

    Non-inhibitor 0.9721

    Renal Organic Cation Transporter Non-inhibitor 0.9037

    Distribution

    Subcellular localization Mitochondria 0.7017

    Metabolism

    CYP450 2C9 Substrate Non-substrate 0.8327

    CYP450 2D6 Substrate Non-substrate 0.8141

    CYP450 3A4 Substrate Substrate 0.5518

    CYP450 1A2 Inhibitor Non-inhibitor 0.8293

    http://www.ijesrt.com/http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/http://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CON%3DCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28CO%5BSi%5D%28C%29%28C%29C%29O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=A

  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [14]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    CYP450 2C9 Inhibitor Non-inhibitor 0.8767

    CYP450 2D6 Inhibitor Non-inhibitor 0.9374

    CYP450 2C19 Inhibitor Non-inhibitor 0.6998

    CYP450 3A4 Inhibitor Non-inhibitor 0.9147

    CYP Inhibitory Promiscuity Low CYP Inhibitory Promiscuity 0.9436

    Excretion

    Toxicity

    Human Ether-a-go-go-Related Gene Inhibition Weak inhibitor 0.9590

    Non-inhibitor 0.9482

    AMES Toxicity Non AMES toxic 0.7651

    Carcinogens Non-carcinogens 0.5987

    Fish Toxicity Low FHMT 0.7004

    Tetrahymena Pyriformis Toxicity Low TPT 0.9318

    Honey Bee Toxicity High HBT 0.8376

    Biodegradation Not ready biodegradable 0.7998

    Acute Oral Toxicity III 0.4080

    Carcinogenicity (Three-class) Non-required 0.6017

    ADMET Predicted Profile --- Regression

    Model Value Unit

    Absorption

    Aqueous solubility -2.4271 LogS

    Caco-2 Permeability 1.0786 LogPapp, cm/s

    Distribution

    Metabolism

    Excretion

    Toxicity

    Rat Acute Toxicity 2.2058 LD50, mol/kg

    Fish Toxicity 2.0719 pLC50, mg/L

    Tetrahymena Pyriformis Toxicity -0.5608 pIGC50, ug/L

    Compound 3: D-Pinotol, pentakis(trimethylsilyl) ether

    http://www.ijesrt.com/http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/http://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=A

  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [15]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    ADMET Predicted Profile --- Classification

    Model Result Probability

    Absorption

    Blood-Brain Barrier BBB+ 0.9112

    Human Intestinal Absorption HIA+ 0.7965

    Caco-2 Permeability Caco2+ 0.5800

    P-glycoprotein Substrate Non-substrate 0.6926

    P-glycoprotein Inhibitor Non-inhibitor 0.6467

    Non-inhibitor 0.9721

    Renal Organic Cation Transporter Non-inhibitor 0.9037

    Distribution

    Subcellular localization Mitochondria 0.7017

    Metabolism

    CYP450 2C9 Substrate Non-substrate 0.8327

    CYP450 2D6 Substrate Non-substrate 0.8141

    CYP450 3A4 Substrate Substrate 0.5518

    CYP450 1A2 Inhibitor Non-inhibitor 0.8293

    CYP450 2C9 Inhibitor Non-inhibitor 0.8767

    CYP450 2D6 Inhibitor Non-inhibitor 0.9374

    CYP450 2C19 Inhibitor Non-inhibitor 0.6998

    CYP450 3A4 Inhibitor Non-inhibitor 0.9147

    CYP Inhibitory Promiscuity Low CYP Inhibitory Promiscuity 0.9436

    Excretion

    Toxicity

    Human Ether-a-go-go-Related Gene Inhibition Weak inhibitor 0.9590

    Non-inhibitor 0.9482

    AMES Toxicity Non AMES toxic 0.7651

    Carcinogens Non-carcinogens 0.5987

    Fish Toxicity Low FHMT 0.7004

    Tetrahymena Pyriformis Toxicity Low TPT 0.9318

    Honey Bee Toxicity High HBT 0.8376

    Biodegradation Not ready biodegradable 0.7998

    Acute Oral Toxicity III 0.4080

    Carcinogenicity (Three-class) Non-required 0.6017

    ADMET Predicted Profile --- Regression

    Model Value Unit

    Absorption

    Aqueous solubility -2.4271 LogS

    Caco-2 Permeability 1.0786 LogPapp, cm/s

    Distribution

    Metabolism

    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  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [16]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    Excretion

    Toxicity

    Rat Acute Toxicity 2.2058 LD50, mol/kg

    Fish Toxicity 2.0719 pLC50, mg/L

    Tetrahymena Pyriformis Toxicity -0.5608 pIGC50, ug/L

    Compound 4:Sorbopyranose, 1,2,3,4,5-pentakis-O-(trimethylsilyl)-, L-

    ADMET Predicted Profile --- Classification

    Model Result Probability

    Absorption

    Blood-Brain Barrier BBB+ 0.8947

    Human Intestinal Absorption HIA- 0.9220

    Caco-2 Permeability Caco2+ 0.5163

    P-glycoprotein Substrate Substrate 0.5421

    P-glycoprotein Inhibitor Inhibitor 0.5955

    Non-inhibitor 0.9550

    Renal Organic Cation Transporter Non-inhibitor 0.8222

    Distribution

    Subcellular localization Mitochondria 0.6088

    Metabolism

    CYP450 2C9 Substrate Non-substrate 0.8525

    CYP450 2D6 Substrate Non-substrate 0.8204

    CYP450 3A4 Substrate Substrate 0.5929

    CYP450 1A2 Inhibitor Non-inhibitor 0.8638

    CYP450 2C9 Inhibitor Non-inhibitor 0.8690

    CYP450 2D6 Inhibitor Non-inhibitor 0.9072

    CYP450 2C19 Inhibitor Non-inhibitor 0.7558

    CYP450 3A4 Inhibitor Non-inhibitor 0.9481

    CYP Inhibitory Promiscuity Low CYP Inhibitory Promiscuity 0.9583

    http://www.ijesrt.com/http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/http://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=COC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=COC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=COC1C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=A

  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [17]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    Excretion

    Toxicity

    Human Ether-a-go-go-Related Gene Inhibition Weak inhibitor 0.9242

    Non-inhibitor 0.8791

    AMES Toxicity Non AMES toxic 0.5000

    Carcinogens Non-carcinogens 0.7529

    Fish Toxicity Low FHMT 0.8427

    Tetrahymena Pyriformis Toxicity Low TPT 0.6449

    Honey Bee Toxicity High HBT 0.7305

    Biodegradation Not ready biodegradable 0.8833

    Acute Oral Toxicity III 0.5684

    Carcinogenicity (Three-class) Non-required 0.5874

    ADMET Predicted Profile --- Regression

    Model Value Unit

    Absorption

    Aqueous solubility -2.3267 LogS

    Caco-2 Permeability 0.6844 LogPapp, cm/s

    Distribution

    Metabolism

    Excretion

    Toxicity

    Rat Acute Toxicity 2.5394 LD50, mol/kg

    Fish Toxicity 1.8088 pLC50, mg/L

    Tetrahymena Pyriformis Toxicity -0.1521 pIGC50, ug/L

    Compound 5:Mannose, 2,3,4,5,6-pentakis-O-(trimethylsilyl)-, D-

    http://www.ijesrt.com/http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/http://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=C%5BSi%5D%28C%29%28C%29OCC1%28O%5BSi%5D%28C%29%28C%29C%29OCC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C1O%5BSi%5D%28C%29%28C%29C&action=A

  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [18]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    ADMET Predicted Profile --- Classification

    Model Result Probability

    Absorption

    Blood-Brain Barrier BBB+ 0.8827

    Human Intestinal Absorption HIA+ 0.6426

    Caco-2 Permeability Caco2- 0.5405

    P-glycoprotein Substrate Non-substrate 0.6829

    P-glycoprotein Inhibitor Non-inhibitor 0.6470

    Non-inhibitor 0.8045

    Renal Organic Cation Transporter Non-inhibitor 0.8434

    Distribution

    Subcellular localization Mitochondria 0.7063

    Metabolism

    CYP450 2C9 Substrate Non-substrate 0.8123

    CYP450 2D6 Substrate Non-substrate 0.8160

    CYP450 3A4 Substrate Substrate 0.5652

    CYP450 1A2 Inhibitor Non-inhibitor 0.8670

    CYP450 2C9 Inhibitor Non-inhibitor 0.8627

    CYP450 2D6 Inhibitor Non-inhibitor 0.8911

    CYP450 2C19 Inhibitor Non-inhibitor 0.7965

    CYP450 3A4 Inhibitor Non-inhibitor 0.9008

    CYP Inhibitory Promiscuity Low CYP Inhibitory Promiscuity 0.9624

    Excretion

    Toxicity

    Human Ether-a-go-go-Related Gene Inhibition Weak inhibitor 0.9649

    Non-inhibitor 0.8872

    AMES Toxicity Non AMES toxic 0.5000

    Carcinogens Carcinogens 0.6667

    Fish Toxicity Low FHMT 0.8148

    Tetrahymena Pyriformis Toxicity Low TPT 0.7104

    Honey Bee Toxicity High HBT 0.6987

    Biodegradation Not ready biodegradable 0.6385

    Acute Oral Toxicity III 0.5320

    Carcinogenicity (Three-class) Non-required 0.5694

    ADMET Predicted Profile --- Regression

    Model Value Unit

    Absorption

    Aqueous solubility -1.6569 LogS

    Caco-2 Permeability 0.7028 LogPapp, cm/s

    Distribution

    Metabolism

    Excretion

    Toxicity

    Rat Acute Toxicity 2.6942 LD50, mol/kg

    Fish Toxicity 1.4991 pLC50, mg/L

    Tetrahymena Pyriformis Toxicity -0.2513 pIGC50, ug/L

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  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [19]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    Compound 6: Mannose, 6-deoxy-2,3,4,5-tetrakis-O-(trimethylsilyl)

    ADMET Predicted Profile --- Classification

    Model Result Probability

    Absorption

    Blood-Brain Barrier BBB+ 0.9473

    Human Intestinal Absorption HIA+ 0.7642

    Caco-2 Permeability Caco2- 0.5238

    P-glycoprotein Substrate Non-substrate 0.7040

    P-glycoprotein Inhibitor Non-inhibitor 0.8254

    Non-inhibitor 0.9217

    Renal Organic Cation Transporter Non-inhibitor 0.9392

    Distribution

    Subcellular localization Mitochondria 0.7589

    Metabolism

    CYP450 2C9 Substrate Non-substrate 0.8449

    CYP450 2D6 Substrate Non-substrate 0.8613

    CYP450 3A4 Substrate Non-substrate 0.5215

    CYP450 1A2 Inhibitor Non-inhibitor 0.8736

    CYP450 2C9 Inhibitor Non-inhibitor 0.8713

    CYP450 2D6 Inhibitor Non-inhibitor 0.9349

    CYP450 2C19 Inhibitor Non-inhibitor 0.7864

    CYP450 3A4 Inhibitor Non-inhibitor 0.9446

    CYP Inhibitory Promiscuity Low CYP Inhibitory Promiscuity 0.9441

    Excretion

    Toxicity

    Human Ether-a-go-go-Related Gene Inhibition Weak inhibitor 0.9871

    Non-inhibitor 0.9439

    AMES Toxicity Non AMES toxic 0.6867

    Carcinogens Carcinogens 0.7110

    Fish Toxicity Low FHMT 0.6785

    Tetrahymena Pyriformis Toxicity Low TPT 0.9571

    http://www.ijesrt.com/http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/http://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=A

  • ISSN: 2277-9655

    [Gophane, et al., 9(4): April, 2020] Impact Factor: 5.164

    IC™ Value: 3.00 CODEN: IJESS7

    http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology

    [20]

    IJESRT is licensed under a Creative Commons Attribution 4.0 International License.

    Honey Bee Toxicity High HBT 0.8134

    Biodegradation Ready biodegradable 0.5187

    Acute Oral Toxicity III 0.4870

    Carcinogenicity (Three-class) Non-required 0.6385

    ADMET Predicted Profile --- Regression

    Model Value Unit

    Absorption

    Aqueous solubility -0.6165 LogS

    Caco-2 Permeability 0.8255 LogPapp, cm/s

    Distribution

    Metabolism

    Excretion

    Toxicity

    Rat Acute Toxicity 2.2175 LD50, mol/kg

    Fish Toxicity 2.3096 pLC50, mg/L

    Tetrahymena Pyriformis Toxicity -1.0982 pIGC50, ug/L

    Compound 7: à-D-(+)-Talopyranose, pentakis(trimethylsilyl) ether

    ADMET Predicted Profile --- Classification

    Model Result Probability

    Absorption

    Blood-Brain Barrier BBB+ 0.8921

    Human Intestinal Absorption HIA- 0.8550

    Caco-2 Permeability Caco2+ 0.5487

    P-glycoprotein Substrate Non-substrate 0.5765

    P-glycoprotein Inhibitor Inhibitor 0.5502

    Non-inhibitor 0.9673

    Renal Organic Cation Transporter Non-inhibitor 0.8459

    Distribution

    Subcellular localization Mitochondria 0.6510

    Metabolism

    CYP450 2C9 Substrate Non-substrate 0.8354

    http://www.ijesrt.com/http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/http://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&action=Ahttp://lmmd.ecust.edu.cn/admetsar1/predict/?smiles=CC%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%28O%5BSi%5D%28C%29%28C%29C%29C%3DO&acti